- For RIAs chasing $1M+ AUM households, the question isn’t LinkedIn vs Google. It’s which channel handles which buyer state, measured against AUM-weighted CAC.
- Google Search wins on active intent. But only on rollover, capital-gains, and fee-comparison keywords. The ‘financial advisor near me’ cluster pulls tire-kickers under $100k.
- LinkedIn’s default title-and-revenue targeting finds W-2 income, not investable assets. A Matched Audiences build with a census-tract income overlay performs materially better.
- Firms spending $25k to $100k/month should split budget across both channels. Sub-$100M AUM firms with strong referrals often shouldn’t run paid at all.
- Default 7- and 30-day attribution windows misattribute everything for RIAs. The sales cycle is 60 to 180 days. Your reporting needs to match.
Most RIAs evaluating LinkedIn Ads vs Google Search are asking the wrong question. They want to know which channel is structurally better. The honest answer: neither, on its own.
Each channel does a different job. The firms winning at paid acquisition run both, configured for the buyer state each platform actually handles.
What we’ve found managing paid media for fee-only RIAs and independent advisors: advisors who lead with Google Search get cheap leads that don’t fund. Advisors who lead with LinkedIn pay premium CPLs and complain without checking what those leads closed. Both are right about their channel’s weakness. Both are running it against the wrong job.
This piece walks through the unit economics that matter, the keyword clusters and audience builds that produce HNW prospects, and a budget framework you can apply this quarter.
The Right Unit of Measure Is AUM-Weighted CAC, Not Cost Per Lead
A $400 LinkedIn lead that funds a $2M AUM relationship beats a $90 Google lead that funds $180k. It isn’t close.
At a 25-bps fee with 10-year average tenure, the LinkedIn lead is worth roughly $50,000 in lifetime revenue. The Google lead is worth $4,500. CPL says one channel is 4x more expensive. Revenue per lead says the opposite.
This is why generic LinkedIn-vs-Google comparisons are structurally wrong for RIAs. They benchmark on cost-per-click and cost-per-form-fill because they’re written for SaaS with $5k contract values. RIAs sell relationships measured in hundreds of thousands of dollars of cumulative fees. The denominator has to change.
The formulas that actually matter
Four formulas should sit on the wall in your marketing meeting:
- Cost per discovery call = total campaign cost ÷ booked discovery calls
- AUM-weighted CAC = total acquisition cost ÷ total AUM closed (in basis points)
- Revenue per lead = (avg AUM closed × annual fee bps × expected tenure) ÷ qualified leads
- Maximum profitable CPL = (avg AUM × fee bps × tenure × gross margin) × discovery-to-fund rate × lead-to-discovery rate
The last one is the most useful. It tells you the absolute ceiling on what you can pay per lead before unit economics break.
For a firm closing 10% of discovery calls into $1M+ AUM relationships at 75 bps and 8-year tenure, that ceiling is north of $800 per lead. Most advisors operate with a self-imposed ceiling 5x lower than reality. Then they conclude LinkedIn ‘doesn’t work.’
Why attribution windows under 90 days lie to you
The RIA sales cycle runs 60 to 180 days from first touch to funded account. Industry observation: a prospect downloads a guide in February, sees retargeting touches in March, books a call in April, and funds in May.
Google’s default 30-day click window will miss most of that journey. Meta and LinkedIn defaults are worse.
You need three fixes: a 90-day click and 30-day view window across every platform, offline conversion uploads tied back to the original lead, and a CRM field capturing funded-account dollar value so attribution rolls up to AUM, not lead count.
We’ve covered the mechanics in our piece on revenue-based attribution and the related offline conversion setup guide. Short version: if you’re optimizing toward form-fills, you’re optimizing toward the wrong thing.
Google Search Wins on Intent — But Not on the Keywords Most Advisors Bid On
The ‘financial advisor near me’ cluster is the worst place to spend RIA budget. So is ‘[city] financial advisor.’ Both produce leads. Most have under $100k investable.
The query isn’t filtering for wealth. It’s filtering for proximity. Proximity correlates with foot traffic, not investable assets.
The gold sits in three keyword clusters most advisors skip. They’re harder to scale and less obvious to a media buyer who isn’t vertical-specific.
Keyword clusters that produce $1M+ AUM discovery calls
Rollover-event language. ‘What to do with 401k after retirement,’ ‘401k rollover to IRA tax implications,’ ‘rollover IRA after age 65.’ These queries pre-filter for prospects with an existing retirement balance large enough to worry about. CPL runs higher, but discovery-call-to-funded conversion is materially better than ‘financial advisor near me’ traffic.
Capital-gains-event language. ‘Selling business tax planning,’ ‘tax strategy after business sale,’ ‘where to invest proceeds from business sale.’ These prospects have a defined liquidity event with a finite window. Highest-AUM cohort by a wide margin. Queries are uncompetitive enough that CPL stays reasonable.
Fee-comparison and fiduciary language. ‘Fee-only fiduciary vs commission,’ ‘how much does a financial advisor cost,’ ‘percentage fee vs flat fee advisor.’ These prospects are already shopping. They’ve decided they want an advisor and they’re price-sensitive in a way that filters for sophistication. They convert.
Lead magnets that convert without poisoning quality
Active intent means the prospect is solving a specific problem now. The lead magnet has to match. Calculators (rollover tax estimator, retirement income calculator), one-page fee comparisons, and free portfolio reviews convert. Generic white papers don’t. The prospect didn’t search to read. They searched to act.
A word of caution on calculator funnels: they pull volume but they also pull DIY shoppers who’ll never hire an advisor. Gate the result behind a soft form (email + zip + age) rather than a hard form. The hard form kills top-of-funnel volume. You can qualify in the post-lead workflow.
On campaign type: keep RIA Search campaigns on standard Search with manual or tCPA bidding. Performance Max consistently struggles in lead-gen accounts because asset-group placement logic pushes spend into Display and YouTube inventory that doesn’t carry intent.
We’ve also been wary of full opt-in to AI Max for lead gen without strict steering controls. See our notes on AI Max steering for lead gen before flipping anything on. Google’s journey-aware bidding update gives you more levers, but the defaults still aren’t built for a 90-day RIA sales cycle.
LinkedIn’s Default Targeting Finds W-2 Income, Not Investable Assets
This is the section most RIA marketing decks get wrong. The default play looks like this: target CEO, CFO, founder, business owner, VP+ seniority, at companies with $10M+ revenue, in your metro. Run a Sales Navigator clone and call it ‘high net worth targeting.’
It doesn’t work. And it doesn’t work for a structural reason: LinkedIn’s targeting signals correlate with W-2 income, not investable assets.
The actual $1M+ AUM prospect for an independent fee-only RIA is disproportionately a 60+ retiree, a recently-exited business owner, or a spouse-of-wealth. None of those people maintain a LinkedIn profile tagged ‘CEO at [Company], $10M+ revenue.’ The retiree’s profile is dormant. The business owner sold and updated nothing. The spouse-of-wealth never had the profile.
When you target by job title and revenue, you pay premium CPMs to reach W-2 earners who might have meaningful investable assets. Mixed in with junior employees, lookers, and competitor staff. Most leads come back as under-50 accumulators, not $1M+ households.
Why job title and company revenue are the wrong wealth proxies
A 35-year-old VP of Engineering at a Series B startup has a great LinkedIn profile and maybe $200k of investable assets between a 401k and brokerage. A 67-year-old retired oral surgeon with $4M in rollovers has a profile that says ‘Retired’ or hasn’t been touched since 2017.
The first person looks ideal in LinkedIn’s audience builder. The second is the actual prospect. LinkedIn’s interface optimizes for the first person because that’s what its data exposes.
The corollary problem: LinkedIn’s revenue-of-employer signal is a proxy for company size, not personal wealth. A senior partner at a 20-person law firm has a different financial profile than a senior director at a 5,000-person enterprise. LinkedIn surfaces the second more reliably.
The Matched Audiences plus Census overlay build
The build that works for RIAs uses LinkedIn Matched Audiences as the primary targeting layer. Title and seniority become light filters, not the foundation.
- Upload a contact list of your existing $1M+ AUM clients. Strip out anything below your AUM threshold. This becomes the seed for a 1% lookalike audience.
- Build a website-retargeting audience from visitors to your fee page, your team page, and any retirement-income or business-exit content. These pages self-select for prospects evaluating you.
- Layer a geographic filter built on Census tract income data. Pull a list of zip codes in your target metros where median household income exceeds $250k. Use that as a location filter inside LinkedIn rather than default metro targeting.
- Add a behavioral signal. Engaged-with-content audiences (people who watched 50%+ of your video, opened a previous Lead Gen Form) compound the wealth signal with intent.
- Use age and seniority as light filters, not primary targeting. Age 50+ and seniority of director or above will catch most accumulator and pre-exit business owner segments without collapsing audience size below 50,000 members.
Industry observation: Matched Audiences builds with a strong client seed list and a tight geographic income overlay tend to outperform default Sales Navigator-style title-and-revenue targeting on cost-per-discovery-call by a meaningful multiple. Treat the delta as directional. Your client list quality, geo, and creative drive the actual numbers.
On ad format: Lead Gen Forms convert better at the top but leak quality. Driving to a landing page with a calendar embed (Calendly, Chili Piper) produces fewer leads at higher quality. For RIAs, the math favors the landing page once you’re past initial audience testing.
The Channel Mix That Actually Books Discovery Calls
Google captures life-event active intent. LinkedIn warms household-strata audiences Search can’t isolate. Cross-channel retargeting closes prospects who touched either. Run all three.
Budget split by AUM tier and monthly spend
The right split shifts with monthly budget and firm maturity. These are starting points, not rules:
| Monthly spend | Google Search | Retargeting | |
|---|---|---|---|
| $25k | 70% | 20% | 10% |
| $50k | 55% | 30% | 15% |
| $100k | 45% | 35% | 20% |
| $200k+ | 40% | 35% | 25% |
At $25k/month, lead with Google. You need volume and active intent to validate downstream conversion before spending on LinkedIn brand-building. At $100k+, the mix shifts toward LinkedIn. You’ve already saturated high-intent Search inventory. Incremental Google spend produces diminishing returns.
At sub-$25k/month, we usually recommend running Google only and waiting on LinkedIn until budget can support a meaningful audience build. LinkedIn under $7k/month is a coin toss because audience sizes and frequency don’t reach learning thresholds.
Speed-to-lead and post-capture workflow
The accumulator (40s to 50s, working professional) wants a callback within minutes. The Lead Response Management Study by James Oldroyd, covered in Harvard Business Review, found that contacting a web lead within five minutes is dramatically more likely to qualify the lead than contacting them an hour later — and the odds of even reaching the lead drop sharply after the first hour (HBR coverage; study summary).
The decumulator (retiree, 60+) is different. A same-day callback within five minutes can feel pushy. Industry observation: retiree segments often respond better to a scheduled callback at the prospect’s stated preferred time. For retiree leads, your form should ask ‘best time to reach you.’ Your CRM should respect it. Same speed mindset, different tactic.
The business-owner pre-exit prospect sits in between. They want fast confirmation that you understand their situation. The discovery call itself often books 7 to 14 days out because their schedule is packed. First touch is an email within minutes. The call is scheduled.
Compliance constraints that change creative on each platform
The SEC Marketing Rule (effective November 2022) and FINRA Rule 2210 constrain RIA creative in ways that don’t apply to B2B SaaS. Three implications matter:
- Testimonials and endorsements are allowed but require specific disclosures (whether the person is a client, whether compensation was paid, material conflicts). On LinkedIn this is manageable in image creative with small-print disclosure. On Google Search, with 30-character headlines and 90-character descriptions, testimonials are functionally unusable.
- Performance advertising requires presenting net-of-fees, with comparable benchmarks, over standard time periods. This kills most ‘we beat the market’ creative on both platforms.
- Hypothetical performance is heavily restricted. Calculators showing projected retirement income need careful framing and disclosure language reviewed by your CCO before launch.
Practical takeaway: build creative for both platforms with your compliance officer in the room. Don’t assume a LinkedIn-approved version translates to Google ad copy. Disclosures that fit a sponsored post don’t fit a 30-character headline.
When to Run One Channel — or Stop Running Paid Entirely
The hybrid model isn’t right for every firm. Three cases where it isn’t:
Sub-$100M AUM firms with strong COI and referral pipelines. If your existing referral engine produces 80%+ of new clients and you’re growing 15%+ per year, paid media often destroys unit economics. Reinvest in COI marketing, client events, and referral incentives until the firm is large enough that paid produces incremental rather than substitutionary growth.
Hyper-local single-advisor practices. A solo advisor in a metro of 250,000 people doesn’t need LinkedIn. Google Search on local intent plus a strong Google Business Profile usually delivers everything the practice can absorb. LinkedIn at that scale produces leads from outside the geographic service area.
Niche advisors with title-identifiable personas. Equity-comp specialists serving tech employees, physician-focused practices, federal-employee-retirement specialists. The persona is identifiable by job title in a way the general HNW market isn’t. LinkedIn-only often outperforms a Google + LinkedIn split because the niche keyword volume on Search is too thin.
Operational rule of thumb: if blended AUM-weighted CAC exceeds 60 to 90 bps of first-year revenue with no clear path to improvement after a 6-month optimization window, stop running paid and rebuild the referral and COI motion. Paid media isn’t a substitute for a weak service offering, a vague niche, or a broken sales process.
Frequently Asked Questions
What’s a realistic CAC for a $1M+ AUM client through paid media?
For a fee-only RIA running a hybrid Google + LinkedIn program, mature accounts tend to see blended AUM-weighted CAC land between 40 and 90 basis points of closed AUM. Significant variance based on geography, niche, and sales process maturity. A firm closing $4M in AUM from $30k in spend is at 75 bps. Solid economics at any standard fee schedule. Firms above 100 bps usually have a sales process problem, not a media problem.
Should I use LinkedIn Lead Gen Forms or drive to a landing page?
Lead Gen Forms produce more leads at lower CPL but materially worse quality. Friction is too low. Prospects forget they filled the form by the time you call. Landing pages with a calendar embed produce fewer leads at substantially higher booked-discovery-call rates. For RIAs targeting $1M+ AUM, the landing page route is almost always better economics once the funnel is past initial validation.
How do I keep LinkedIn CPL reasonable when targeting $250k+ household income?
Don’t use LinkedIn’s interest-based ‘high net worth’ or income-bracket targeting. Build the audience through Matched Audiences: contact-list uploads of existing clients, website retargeting from your fee and team pages, and a 1% lookalike from your client seed list. Filter geographically by zip codes where census-tract median household income exceeds $250k. This produces an audience of 50k to 250k that performs without paying premium CPMs for LinkedIn’s revenue-and-title signals.
What negative keywords should I add to an RIA Search campaign?
At minimum: ‘jobs,’ ‘salary,’ ‘license,’ ‘exam,’ ‘series 65,’ ‘CFP requirements,’ ‘how to become,’ ‘free,’ ‘broke,’ ‘low income,’ ‘bad credit,’ and the names of every robo-advisor and discount brokerage you don’t want to compete against on price. We also negative out ‘reviews of [your firm name]’ from broad campaigns and run those queries in a separate brand campaign so bidding doesn’t get distorted.
How long before paid media produces measurable AUM growth?
Plan for 90 days minimum before you have enough closed business to evaluate channel performance. Six months before you have stable AUM-weighted CAC numbers. The sales cycle is 60 to 180 days. A campaign launched January 1 won’t produce its first funded accounts until March at the earliest. The bulk won’t fund until April through June. Firms that pull the plug at 60 days are killing campaigns before the data exists to evaluate them.
Why does Performance Max struggle with RIA campaigns?
Performance Max distributes spend across Search, Display, YouTube, Discover, Gmail, and Maps based on a single optimization signal. For RIA accounts the conversion volume is too low and too lagged for the algorithm to learn meaningful placement signals. It defaults to cheap Display and YouTube inventory that doesn’t carry intent. You end up with high impression volume, occasional form fills from low-intent placements, and no funded accounts. Standard Search campaigns with tCPA bidding give you the placement control RIA economics require.
How do I attribute a discovery call booked today to a paid touch from 90 days ago?
Three pieces have to be in place: a 90-day click attribution window on every platform (the default 30-day window will miss most of your funnel), offline conversion uploads from your CRM tied back to the original lead source via GCLID and LinkedIn’s first-party tracking, and an AUM-value field that flows into your conversion data. Without all three, your reporting will systematically under-credit LinkedIn and over-credit branded Search. That’s the misallocation that pushes RIAs into one-channel strategies.
If you’re spending $25k+/month on paid media and want a second set of eyes on your channel mix, audience builds, or attribution setup, book a free strategy call with Elevarus. We’ll put together a custom paid-media plan or audit your current RIA campaigns against the unit economics that actually matter. We’ll tell you what’s working, what to kill, and where the next dollar of AUM-weighted return is hiding.
